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Empathic Machines: Using Intermediate Features as Levers to Emulate Emotions in Text-To-Speech Systems.

, , , , and . NAACL-HLT, page 336-347. Association for Computational Linguistics, (2022)

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It's What You Say and How You Say It: Exploring Audio and Textual Features for Podcast Data., , , , , , and . APSIPA ASC, page 1972-1977. IEEE, (2023)Partners in Crime: Utilizing Arousal-Valence Relationship for Continuous Prediction of Valence in Movies., , and . AffCon@AAAI, volume 2328 of CEUR Workshop Proceedings, page 28-38. CEUR-WS.org, (2019)Efficacy of Large Language Models in Predicting Hindi Movies' Attributes: A Comprehensive Survey and Content-Based Analysis., , , , , , and . WWW (Companion Volume), page 947-950. ACM, (2024)What BERTs and GPTs know about your brand? Probing contextual language models for affect associations., , , , and . DeeLIO@NAACL-HLT, page 119-128. Association for Computational Linguistics, (2021)Multimodal Approach to Predicting Media Memorability., , , and . MediaEval, volume 2283 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Live on TV, Alive on Twitter: Quantifying Continuous Partial Attention of Viewers During Live Television Telecasts., , and . ICDM Workshops, page 1042-1049. IEEE Computer Society, (2017)Assessing the Need of Augmenting Video Lectures with Supporting Information., , , , and . HCI (14), volume 8523 of Lecture Notes in Computer Science, page 238-249. Springer, (2014)A Few Good Sentences: Content Selection for Abstractive Text Summarization., , and . ECML/PKDD (4), volume 14172 of Lecture Notes in Computer Science, page 124-141. Springer, (2023)Generative Models For Indic Languages: Evaluating Content Generation Capabilities., , and . RANLP, page 187-195. INCOMA Ltd., Shoumen, Bulgaria, (2023)Can a Pretrained Language Model Make Sense with Pretrained Neural Extractors? An Application to Multimodal Classification (short paper)., , , , and . DE-FACTIFY@AAAI, volume 3199 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)